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Generative AI
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View courseMachine Learning Course in Guntur
Master supervised, unsupervised and ensemble methods, feature engineering and model deployment.
⏱ Duration: 3 months
🎯 Level: Beginner to Advanced
🏫 Mode: Classroom · Online · Hybrid
📍 Gardens, Guntur
Machine Learning course overview
The Machine Learning course in Guntur teaches you to build, evaluate and deploy predictive models. From regression and classification to ensembles and model deployment, you'll learn the full ML workflow with real datasets and industry tools.
Who is this course for? Aspiring data scientists, analysts and developers who want practical, job-ready machine learning skills.
- Course
- Machine Learning
- Category
- AI & Generative AI
- Duration
- 3 months
- Level
- Beginner to Advanced
- Mode
- Classroom, Online & Hybrid
- Location
- Gardens, Guntur (AP)
- Prerequisites
- Basic Python and statistics help; both are reinforced in the course.
- Certificate
- Yes, on completion
Machine Learning syllabus & modules
A practical, hands-on curriculum that takes you step by step from fundamentals to a real project.
1
ML Foundations
The ML workflow, types of learning and the maths you actually need.
2
Supervised Learning
Regression, classification, and model evaluation metrics.
3
Feature Engineering
Cleaning, transforming and selecting features for better models.
4
Unsupervised Learning
Clustering, dimensionality reduction and anomaly detection.
5
Ensemble Methods
Random forests, gradient boosting and XGBoost.
6
Model Deployment & MLOps
Saving, serving and monitoring models in production.
7
ML Capstone Project
Build an end-to-end ML solution from data to deployment.
📄
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Tools & technologies you'll use
PythonPandasScikit-learnXGBoostMatplotlibMLflowJupyter
What you'll be able to do
- Build regression and classification models
- Engineer features that improve accuracy
- Apply clustering and dimensionality reduction
- Use ensemble methods like XGBoost
- Deploy and monitor ML models
Career opportunities after this course
Skills from the Machine Learning course can support roles such as:
Machine Learning EngineerData ScientistML AnalystAI Engineer
Why learn Machine Learning at LearnAI Career Hub, Guntur?
- Trainers who are active, working industry professionals
- Hands-on, project-based learning with a portfolio outcome
- Classroom in Gardens, plus live online & hybrid options
- Internship and placement support with our hiring-partner network
- Local to Guntur, Tenali, Mangalagiri, Narasaraopet & Vijayawada — no need to relocate
Machine Learning course — frequently asked questions
It covers the full ML workflow — supervised and unsupervised learning, feature engineering, ensemble methods like XGBoost, and model deployment with MLOps basics.
You need only basic maths to start; the essential statistics and intuition are taught alongside the code.
Python, Pandas, Scikit-learn, XGBoost and MLflow, working in Jupyter notebooks with real datasets.
Yes. You'll learn to save, serve and monitor models and complete a deployment capstone project.
Yes, in classroom, live online and hybrid modes.
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Book a free demo class, meet your trainer and get the full syllabus and fee details. No obligation.